NDLI: Robust Face Recognition by Sparse Local Features from a Single Image under Occlusion

Content Provider	IEEE Xplore Digital Library
Author	Na Liu Jianhuang Lai Huining Qiu
Copyright Year	2011
Abstract	Occlusion and "one sample per person" are two challenging problems for face recognition and still not well solved till now. This paper investigates the two problems and proposes a novel method based on sparse local features to solve them. The contribution of our work is three-fold: first, the key characteristics of successful applying SIFT features for face recognition are analyzed. Second, based on the analysis of SIFT features, two new sparse local feature descriptors, namely Sparse HoG and Sparse LBP are proposed and they are combined together for extracting more discriminative features from an occluded and single image of one person. Third, a new matching strategy is proposed to measure the similarity between the testing and the gallery images. The proposed method is effective and efficient for solving the occlusion and ¡®one sample per person' problem. Experimental results on the AR database show that the proposed method outperforms the original SIFT, HoG, LBP based methods and also some other existing face recognition algorithms in terms of recognition accuracy.
Starting Page	500
Ending Page	505
File Size	581962
Page Count	6
File Format	PDF
ISBN	9781457715600
DOI	10.1109/ICIG.2011.179
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Image recognition Accuracy SIFT Face recognition Single sparse occlusion face recognition Feature extraction Face Sun
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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